Triple

T13661735
Position Surface form Disambiguated ID Type / Status
Subject Amethi district E327013 entity
Predicate hasTown P847 FINISHED
Object Tiloi
Tiloi is a town in the Amethi district of Uttar Pradesh, India, known historically as a local administrative and political center.
 E1053965 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tiloi | Statement: [Amethi district, hasTown, Tiloi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiloi
Context triple: [Amethi district, hasTown, Tiloi]
  • A. Tilpa
    Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
  • B. Tilo
    Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
  • C. Tilok
    Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
  • D. Toliš
    Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
  • E. Tiosa
    Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tiloi
Triple: [Amethi district, hasTown, Tiloi]
Generated description
Tiloi is a town in the Amethi district of Uttar Pradesh, India, known historically as a local administrative and political center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiloi
Target entity description: Tiloi is a town in the Amethi district of Uttar Pradesh, India, known historically as a local administrative and political center.
  • A. Tilpa
    Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
  • B. Tilo
    Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
  • C. Tilok
    Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
  • D. Toliš
    Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
  • E. Tiosa
    Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b08d27c8190badc612c26423c0e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78fd0d29481908bd44bda28e3b2c1 completed May 3, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7908d92e08190918525c59cb37b55 completed May 3, 2026, 6:14 p.m.
Created at: April 9, 2026, 9:52 p.m.